Krisztián Búza

1.4k total citations
46 papers, 563 citations indexed

About

Krisztián Búza is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Krisztián Búza has authored 46 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 24 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Krisztián Búza's work include Time Series Analysis and Forecasting (14 papers), Music and Audio Processing (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Krisztián Búza is often cited by papers focused on Time Series Analysis and Forecasting (14 papers), Music and Audio Processing (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Krisztián Búza collaborates with scholars based in Hungary, Germany and Romania. Krisztián Búza's co-authors include Ladislav Peška, Zoltán Vidnyánszky, Júlia Koller, Αλέξανδρος Νανόπουλος, Viktor Gál, Gábor P. Nagy, Petra Hermann, Lars Schmidt-Thieme, Nenad Tomašev and Margit Antal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Krisztián Búza

41 papers receiving 546 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Krisztián Búza Hungary	14	172	150	136	124	82	46	563
Xianggen Liu China	11	128 0.7×	151 1.0×	128 0.9×	103 0.8×	52 0.6×	20	542
Ilia Nouretdinov United Kingdom	14	72 0.4×	253 1.7×	83 0.6×	24 0.2×	101 1.2×	32	554
J. Satheesh Kumar India	13	240 1.4×	64 0.4×	48 0.4×	61 0.5×	78 1.0×	28	664
Stergios Papadimitriou Greece	13	54 0.3×	138 0.9×	78 0.6×	62 0.5×	49 0.6×	52	426
Weiyu Huang United States	12	300 1.7×	266 1.8×	61 0.4×	55 0.4×	35 0.4×	31	713
Na Zhang China	16	145 0.8×	127 0.8×	41 0.3×	57 0.5×	228 2.8×	60	892
Xiaoyi Liu China	14	44 0.3×	85 0.6×	31 0.2×	36 0.3×	57 0.7×	75	531
Du Zhang United States	16	37 0.2×	509 3.4×	66 0.5×	158 1.3×	33 0.4×	73	934
Bo Wen China	7	39 0.2×	245 1.6×	83 0.6×	22 0.2×	117 1.4×	12	672
S.D. Katebi Iran	13	161 0.9×	303 2.0×	63 0.5×	57 0.5×	49 0.6×	31	629

Countries citing papers authored by Krisztián Búza

Since Specialization

Citations

This map shows the geographic impact of Krisztián Búza's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Krisztián Búza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krisztián Búza more than expected).

Fields of papers citing papers by Krisztián Búza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krisztián Búza. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Krisztián Búza. The network helps show where Krisztián Búza may publish in the future.

Co-authorship network of co-authors of Krisztián Búza

This figure shows the co-authorship network connecting the top 25 collaborators of Krisztián Búza. A scholar is included among the top collaborators of Krisztián Búza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Krisztián Búza. Krisztián Búza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Głomb, Przemysław, et al.. (2025). Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Computational Biology. 21(9). e1012983–e1012983.

Búza, Krisztián, et al.. (2025). Evaluating Open-Source LLMs in RAG Systems: A Benchmark on Diploma Theses Abstracts Using Ragas. 17(1). 1 indexed citations

Búza, Krisztián, et al.. (2024). TARNet for the Classification of Time Series with Missing Values: A Strong Baseline. SHILAP Revista de lepidopterología. 16(1). 1–19.

Głomb, Przemysław, et al.. (2024). Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Computers in Biology and Medicine. 176. 108544–108544. 3 indexed citations

Búza, Krisztián. (2024). Activity Recognition Based on Accelerometer Data with Enhanced ROCKET Algorithm. 321–326. 1 indexed citations

Antal, Margit & Krisztián Búza. (2023). SapiPin: Observations on PIN-code typing dynamics. SHILAP Revista de lepidopterología. 15(1). 10–24.

Antal, Margit, et al.. (2021). SapiAgent: A Bot Based on Deep Learning to Generate Human-Like Mouse Trajectories. IEEE Access. 9. 124396–124408. 3 indexed citations

Búza, Krisztián, et al.. (2020). IT Ticket Classification: The Simpler, the Better. IEEE Access. 8. 193380–193395. 21 indexed citations

Búza, Krisztián, Ladislav Peška, & Júlia Koller. (2020). Modified linear regression predicts drug-target interactions accurately. PLoS ONE. 15(4). e0230726–e0230726. 16 indexed citations

10.

Búza, Krisztián, et al.. (2019). Extreme Learning Machines with Regularization for the Classification of Gene Expression Data.. 99–103. 2 indexed citations

11.

Búza, Krisztián, et al.. (2017). A New Proposal for Person Identification Based on the Dynamics of Typing: Preliminary Results. 28(1&2). 1–12. 1 indexed citations

12.

Búza, Krisztián. (2016). Person Identification Based on Keystroke Dynamics: Demo and Open Challenge.. 161–168. 5 indexed citations

13.

Búza, Krisztián. (2016). Classification of gene expression data: A hubness-aware semi-supervised approach. Computer Methods and Programs in Biomedicine. 127. 105–113. 14 indexed citations

14.

Búza, Krisztián & Júlia Koller. (2016). Classification of Electroencephalograph Data: A Hubness-aware Approach. Acta Polytechnica Hungarica. 13(2). 4 indexed citations

15.

Peška, Ladislav, et al.. (2016). A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. 203–208. 6 indexed citations

16.

Peška, Ladislav, et al.. (2016). Classification of fMRI data using dynamic time warping based functional connectivity analysis. 17 indexed citations

17.

Tomašev, Nenad, Krisztián Búza, & Dunja Mladenić. (2015). Correcting the hub occurrence prediction bias in many dimensions. Computer Science and Information Systems. 13(1). 1–21. 3 indexed citations

18.

Búza, Krisztián, et al.. (2012). Partitional clustering of tick data to reduce storage space. 555–560.

19.

Horváth, Tomáš, et al.. (2011). Value-transformation for monotone prediction by approximating fuzzy membership functions. 367–372. 4 indexed citations

20.

Romano, Lorenza, Krisztián Búza, Claudio Giuliano, & Lars Schmidt-Thieme. (2009). XMedia: Web People Search by Clustering with Machinely Learned Similarity Measures. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact